What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Remote sensing
- Statistics
His primary areas of investigation include Remote sensing, Digital elevation model, Lidar, Digital image processing and Sea ice.
His work in the fields of Remote sensing, such as Multi spectral, overlaps with other areas such as Thresholding.
His studies in Digital elevation model integrate themes in fields like Source data, Interpolation, Error detection and correction, Classification of discontinuities and Geographic information system.
His research in Lidar intersects with topics in Elevation, Surface, Face and Interferometric synthetic aperture radar.
His Digital image processing study integrates concerns from other disciplines, such as Image gradient, Canny edge detector, Image segmentation and Orthophoto.
The concepts of his Sea ice study are interwoven with issues in Physical geography, Sea level, Sea surface temperature and Ice core.
His most cited work include:
- Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods (252 citations)
- An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling (232 citations)
- Development of an Antarctic digital elevation model by integrating cartographic and remotely sensed data: A geographic information system based approach (165 citations)
What are the main themes of his work throughout his whole career to date?
Remote sensing, Digital elevation model, Multispectral image, Ice sheet and Lidar are his primary areas of study.
His Remote sensing research is multidisciplinary, incorporating perspectives in Elevation, Snow and Scale.
The various areas that Hongxing Liu examines in his Digital elevation model study include Level set method, Boundary, Hierarchy and Interpolation.
His Multispectral image research is multidisciplinary, relying on both Pixel, Inversion, Hyperspectral imaging and Bathymetry.
His Ice sheet study combines topics in areas such as Orthophoto, Ice shelf and Arctic ice pack.
His Lidar research incorporates themes from Storm, Geodetic datum, Binary image and Aerial photography.
He most often published in these fields:
- Remote sensing (59.66%)
- Digital elevation model (11.76%)
- Multispectral image (11.76%)
What were the highlights of his more recent work (between 2018-2021)?
- Remote sensing (59.66%)
- Altimeter (9.24%)
- Scale (9.24%)
In recent papers he was focusing on the following fields of study:
Hongxing Liu spends much of his time researching Remote sensing, Altimeter, Scale, Algorithm and Downscaling.
His study in the fields of Multispectral image under the domain of Remote sensing overlaps with other disciplines such as Chlorophyll a.
His research investigates the connection between Altimeter and topics such as Water level that intersect with issues in Synthetic aperture radar, Water cycle, Sea ice, Elevation and Normalization.
His work carried out in the field of Scale brings together such families of science as Markov random field, Urbanization and Climate change.
His Algorithm research integrates issues from Digital elevation model, Point, Reflectivity and Coincident.
His Downscaling research incorporates elements of Image resolution, Covariance, Covariance function, Spectral bands and Normalized Difference Vegetation Index.
Between 2018 and 2021, his most popular works were:
- State of the Climate in 2018 (35 citations)
- Bathymetry retrieval from optical images with spatially distributed support vector machines (23 citations)
- Mapping Global Urban Areas From 2000 to 2012 Using Time-Series Nighttime Light Data and MODIS Products (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Remote sensing
Hongxing Liu mostly deals with Algorithm, Remote sensing, Sea ice, Water cycle and Water level.
The Algorithm study combines topics in areas such as Point, Boundary, Raster graphics and Digital elevation model.
His Remote sensing research incorporates elements of Waves and shallow water, Bathymetry and Support vector machine.
The concepts of his Sea ice study are interwoven with issues in Synthetic aperture radar, Altimeter, Elevation and Ice sheet.
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